Special Session 4
Frontier Advances in Motion Planning and Control of Nonlinear Systems
Introduction: With the rapid development of autonomous vehicles, robotic systems, intelligent manufacturing, networked mechanical systems, and other emerging engineering fields, nonlinear dynamical systems are increasingly characterized by strong nonlinearity, model uncertainty, dynamic coupling, external disturbances, and operational constraints. These characteristics pose substantial challenges to conventional motion planning and control methods, particularly when safety, robustness, adaptability, and real-time performance must be guaranteed simultaneously. Recent advances in trajectory optimization, model predictive control, adaptive and robust control, safety-critical control, and learning-assisted control provide new opportunities for addressing these challenges in a systematic manner. This Special Session, “Frontier Advances in Motion Planning and Control of Nonlinear Systems,” focuses on the following research areas:
- Nonlinear motion planning and trajectory optimization: including but not limited to nonlinear trajectory generation, optimal path planning, real-time trajectory optimization, and model predictive planning for complex dynamical systems.
- Constrained, safety-critical, and robust control: including state/input constraint handling, disturbance rejection, uncertainty compensation, barrier-function-based control, robust control, and stability-guaranteed controller design.
- Adaptive, fault-tolerant, and learning-assisted control: including adaptive control, neural-network-based control, reinforcement learning, data-driven control, and fault-tolerant control under actuator, sensor, or component faults.
- Cooperative control and application-oriented implementation: including multi-agent coordination, distributed control, embedded implementation, experimental validation, and applications in autonomous vehicles, robotics, intelligent manufacturing, and mechanical systems.
This Special Session aims to bring together recent theoretical developments and application-oriented studies, explore advanced motion planning and control strategies for nonlinear systems under complex, uncertain, and safety-critical conditions, and promote the integration of rigorous control theory with practical engineering deployment.
Organizers:
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Tenglong Huang, Northwest A&F University, ChinaTenglong Huang, male, associate professor, College of Mechanical and Electronic Engineering, Northwest A&F University. His current research interests include intelligent vehicles, mobile robots, robotic manipulators, intelligent agriculture, etc. As the project member, he has joined over 9 high-level projects such as the National Natural Science Fund Project and Major Science and Technology Project of "Millions" Project in Heilongjiang Province, etc. He has published papers in well-known journals in the field of control or robotics. |
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Weizhong Chen, Xi’an Polytechnic University, ChinaWeizhong Chen, male, associate professor, School of Electronic Information, Xi 'an Polytechnic University, Young Talent of Shaanxi Province, Top Talent of Xi 'an Polytechnic University, Director of Control Theory and Application Laboratory, Institute of Robotics and Intelligent Equipment, School of Electronic Information. His current research interests include switched systems, intelligent control, neural network, networked control and state estimation. As the project leader, he has presided over 5 high-level projects such as the National Natural Science Fund Project, the Shaanxi Provincial High-level Talent Introduction Project, and the Shaanxi Provincial Natural Science Fund Project. He has published more than 20 SCI papers in well-known journals in the field of control, and obtained 5 national authorized invention patents. |
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Yankai Li, Xi'an University of Technology, ChinaYankai Li, Professor and Doctoral Supervisor. His current research interests include control theory, intelligent control, nonlinear systems, and related fields. As the project leader, he has presided over several high-level research projects, including the General Program and Young Scientists Fund of the National Natural Science Foundation of China, the Shaanxi Qinchuangyuan High-level Innovation and Entrepreneurship Talent Program, the China Postdoctoral Science Foundation Special Grant and General Grant, the China Scholarship Council Program, the Shaanxi Key Research and Development Program, and the Key Scientific Research Program of Shaanxi Province. He has also participated in four major projects supported by the National Natural Science Foundation of China, including major scientific instrument development and key projects. He has published 65 academic papers, including 4 highly cited papers and 2 hot papers, with more than 1,000 citations on Google Scholar. His research outcomes have appeared in well-known journals in the field of control, such as Automatica, IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, and IEEE Transactions on Aerospace and Electronic Systems. He has applied for nearly 30 invention patents. He has received the First Prize of the Science and Technology Innovation Award from the China Association for the Promotion of Science and Technology Industrialization, and the Excellence Award in the Shaanxi Enterprise “Three New and Three Small” Innovation Competition. Under his supervision, graduate students won the National Second Prize in the 5th China Graduate Artificial Intelligence Innovation Competition. |
Submission Guideline:
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